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要以交互方式训练判别分析模型,可以使用 Classification Learner App。为了获得更大的灵活性,可以在命令行界面中使用 fitcdiscr
来训练判别分析模型。训练模型后,可将模型和预测变量数据传递给 predict
,以预测标签或估计后验概率。
Classification Learner | 使用有监督的机器学习训练模型以对数据进行分类 |
ClassificationDiscriminant | Discriminant analysis classification |
CompactClassificationDiscriminant | Compact discriminant analysis class |
ClassificationPartitionedModel | Cross-validated classification model |
Train Discriminant Analysis Classifiers Using Classification Learner App
Create and compare discriminant analysis classifiers, and export trained models to make predictions for new data.
Supervised Learning Workflow and Algorithms
Understand the steps for supervised learning and the characteristics of nonparametric classification and regression functions.
Categorical response data
Discriminant Analysis Classification
Understand the discriminant analysis algorithm and how to fit a discriminant analysis model to data.
Creating Discriminant Analysis Model
Understand the algorithm used to construct discriminant analysis classifiers.
Create and Visualize Discriminant Analysis Classifier
Perform linear and quadratic classification of Fisher iris data.
Improving Discriminant Analysis Models
Examine and improve discriminant analysis model performance.
Regularize Discriminant Analysis Classifier
Make a more robust and simpler model by removing predictors without compromising the predictive power of the model.
Examine the Gaussian Mixture Assumption
Discriminant analysis assumes that the data comes from a Gaussian mixture model. Understand how to examine this assumption.
Prediction Using Discriminant Analysis Models
Understand how predict
classifies
observations using a discriminant analysis model.
Visualize Decision Surfaces of Different Classifiers
This example shows how to visualize the decision surface for different classification algorithms.